16 sep
|
Levi Strauss u0026
|
Barcelona
16 sep
Levi Strauss u0026
Barcelona
Overview In this role you turn ecommerce and consumer data into trusted insights that guide global decision-making. You own metrics, governance, and dashboards across regions, collaborating with Product, Marketing, and Finance to ensure a single source of truth. You'll work across SQL, data warehouses, and visualization tools to deliver self-service analytics, strong data storytelling, and scalable global solutions.
You'll mentor others and shape analytics governance to balance global standards with local nuance. This is a data-centric opportunity at a transformative fashion company.
Compensaciones / Beneficios base pay paid leave product discounts total rewards package benefits vary by role incentive compensation may apply
Responsabilidades
Own analytics workstreams end-to-end from metric definition to dashboard adoption
Define, certify, and govern metrics in the semantic layer and ARC for ecommerce, consumer, and loyalty reporting
Build and maintain production-grade dashboards and data products (Looker, Looker Studio, Tableau)
Write complex SQL against large datasets (BigQuery); develop transformation pipelines with dbt
Act as primary analytics contact for stakeholders; translate business problems into analyses and communicate results
Conduct deep-dive analyses (cohorting, funnel, CLV, retention, promo/discount, demand) to surface trends and actions
Support experimentation and measurement with A/B test readouts and incrementality framing
Define and enforce best practices for metric documentation, dashboards, QA, and data validation
Mentor junior analysts and contribute to general analytics community by sharing knowledge
Drive governance to align global frameworks with local market needs while closing data gaps with Data Engineering
Identify data-quality and readiness gaps and mitigate risks to keep workstreams on track
Requisitos principales 5+ years in data analytics, BI, or related field
5+ years writing complex SQL in cloud environments (BigQuery or equivalent)
5+ years using data visualization/BI tools (Looker/LookML, Looker Studio, Tableau)
Strong metric definition and governance experience; semantic-layer knowledge a plus
Analytical foundation in cohorts, segmentation, funnel, retention/CLV; understanding of experimentation (A/B)
Proficiency in Python or R for analysis and automation
Experience with cloud data platforms; Google Cloud Platform a plus
Excellent communication and stakeholder management across regions and functions
Mentoring experience and ability to set team standards
Bachelors or Masters in a quantitative field; 5+ years overall analytics/BI experience
Track record delivering analytics products with measurable impact
Senior IC experience influencing team practices and decisions strong communication stakeholder-management mentoring
SQL
BigQuery dbt
📌 Senior Data Analyst, DTC (Consumer & Ecommerce Analytics) (Barcelona)
🏢 Levi Strauss u0026
📍 Barcelona